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ICASSP
2011
IEEE
13 years 8 days ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 3 months ago
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique
—Body sensor networks are emerging as a promising platform for healthcare monitoring. These systems are composed of battery-operated embedded devices which process physiological ...
Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozb...
TVCG
2011
136views more  TVCG 2011»
13 years 3 months ago
Interactive Mesh Cutting Using Constrained Random Walks
—This paper considers the problem of interactively finding the cutting contour to extract components from an existing mesh. First, we propose a constrained random walks algorith...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
QSHINE
2005
IEEE
14 years 2 months ago
Solving The Multi-Constrained Path Selection Problem By Using Depth First Search
An extended depth-first-search (EDFS) algorithm is proposed to solve the multi-constrained path (MCP) problem in quality-of-service (QoS) routing, which is NP-Complete when the n...
Zhenjiang Li, J. J. Garcia-Luna-Aceves
TSP
2008
101views more  TSP 2008»
13 years 8 months ago
Optimal Node Density for Detection in Energy-Constrained Random Networks
The problem of optimal node density maximizing the Neyman-Pearson detection error exponent subject to a constraint on average (per node) energy consumption is analyzed. The spatial...
Animashree Anandkumar, Lang Tong, Ananthram Swami